Data Description: Given a Bank customer, can we build a classifier that can determine whether they will leave or not using Neural networks?
The dataset contains 10,000 sample points with 14 distinct features such as CustomerId, CreditScore, Geography, Gender, Age, Tenure, Balance etc. Know your data: https://www.kaggle.com/barelydedicated/bank-customer-churn-modeling.
Context: Businesses like banks which provide service have to worry about problem of 'Churn' i.e. customers leaving and joining another service provider. It is important to understand which aspects of the service influence a customer's decision in this regard. Management can concentrate efforts on improvement of service, keeping in mind these priorities.